threat-detection
Safeguard articles tagged "threat-detection" — guides, analysis, and best practices for software supply chain and application security.
35 articles
Container Runtime Security Monitoring: Catching the Breach in Progress
Scanning tells you what could go wrong before deploy. Runtime monitoring tells you what is going wrong right now. Here is how to detect container attacks as they happen.
eBPF Runtime Security for Kubernetes
eBPF lets you observe and enforce security at the kernel level — every syscall, network connection, and process exec — without kernel modules or instrumenting your apps. Here is how tools like Falco, Tetragon, and Cilium use it to catch what image scanning cannot.
What Is Malware? Types and How It Spreads
Malware is any software built to do harm, from stealing data to locking up your files. Here's a beginner-friendly tour of the main types and how it gets in.
How to Choose an AI Cybersecurity Company in 2026
An AI cybersecurity company uses machine learning to detect, prioritize, and remediate threats faster than rules alone. Here is how to evaluate one honestly.
AI Endpoint Security: How Machine Learning Changes Endpoint Defense
AI endpoint security uses machine learning to detect threats by behavior rather than signatures. Here is what it actually does, where it helps, and its limits.
AI in Network Security: Where It Actually Helps Today
AI in network security earns its keep in anomaly detection and alert triage today, not in autonomous response — here's the honest split between what's proven and what's still marketing.
AI for Cyber Security: What Works and What Is Hype
AI for cyber security is real where it triages signal at machine scale, and overstated where vendors promise autonomous defense. Here is how to tell the two apart.
AI cybersecurity hub (AI-driven threat detection)
Prisma Cloud's AI-driven detection watches runtime behavior, but AI in cybersecurity still misses supply chain attacks like XZ Utils. Provenance matters more.
What is Malware
Malware now hides in open source packages and CI pipelines, not just email attachments. Here's what it is, how it spreads, and how to catch it early.
What Is AI-Powered Cybersecurity? A Practical Security Guide
AI-powered cybersecurity means using machine learning and language models to detect, triage, and remediate threats faster than rule-based tooling alone. Here is where it genuinely helps and where the hype outruns reality.
AI Cybersecurity Software: What It Actually Does and Where It Falls Short
AI cybersecurity software uses machine learning to spot anomalies, triage alerts, and prioritize risk faster than humans can. Here is what it genuinely helps with and where it still needs a human.
What is Adversarial Machine Learning
Adversarial machine learning exploits model decision boundaries via evasion, poisoning, extraction, and inference attacks -- here's how it works and how to defend against it.
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